Kuramoto Oscillators and Swarms on Manifolds for Geometry Informed Machine Learning.
Vladimir JacimovicPublished in: CoRR (2024)
Keyphrases
- machine learning
- manifold alignment
- information geometry
- cooperative
- particle swarm optimization
- machine learning algorithms
- geometric structure
- text mining
- knowledge acquisition
- machine learning methods
- inductive learning
- pattern recognition
- bio inspired
- machine learning approaches
- explanation based learning
- data mining
- tangent space
- learning algorithm
- computational intelligence
- communication systems
- computer vision
- low dimensional manifolds
- three dimensional
- manifold learning
- information extraction
- learning systems
- reinforcement learning
- text classification
- arbitrary dimension
- model selection
- computer science
- high dimensional
- semi supervised learning
- active learning
- information theory
- riemannian manifolds
- configuration space
- knowledge representation
- fisher information
- supervised learning
- natural language processing
- artificial intelligence
- transfer learning